Triple
T17812356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanli District |
E444741
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Keelung Harbor |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Keelung Harbor | Statement: [Wanli District, near, Keelung Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keelung Harbor Context triple: [Wanli District, near, Keelung Harbor]
-
A.
Port of Kaohsiung
The Port of Kaohsiung is Taiwan’s largest and busiest seaport, serving as a major international hub for container shipping and maritime trade in East Asia.
-
B.
Port of Taipei
The Port of Taipei is a major international seaport in northern Taiwan that serves as a key hub for container shipping and maritime trade.
-
C.
Keelung Harbor entrance
chosen
The Keelung Harbor entrance is the main seaward gateway to Keelung, a major port city in northern Taiwan, serving as a key access point for commercial and passenger vessels.
-
D.
Keelung
Keelung is a major port city in northeastern Taiwan known for its busy harbor, seafood markets, and coastal scenery.
-
E.
Magong Harbor
Magong Harbor is a key maritime port and transportation hub in Magong City on Taiwan’s Penghu Islands, serving both commercial shipping and passenger ferries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887c63608190b29a407cabff0bc5 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.